Performance Characterization of the Servioticy API: An IoT-as-a-Service Data Management Platform

Pérez, Juan L.; Carrera, David

doi:10.1109/bigdataservice.2015.58

Cited by 15 publications

(9 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are various challenges when deploying LoRa network in practical scenario. Moreover, several IoT cloud platforms have been proposed to process and manage IoT data [9]- [11]. However, LoRa Nodes are distributed over wide areas and utilize LoRa Gateway to establish the connection with Internet.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Open LoRa for IoT

et al. 2019

View full text Add to dashboard Cite

Long Range (LoRa) network is emerging as one of the most promising Low Power Wide Area (LPWA) networks, since it enables the energy-constraint devices distributed over wide areas to establish affordable connectivity. However, how to implement a cost-effective and flexible LoRa network is still an open challenge. This paper aims at exposing a feasible solution of design and implementation, allowing users to conveniently build a private LoRa network for various IoT applications. Firstly, several typical application scenarios of LoRa network are discussed. Then, the LoRa system architecture is presented with the functionality of each component. We address the hardware design and implementation of LoRa Gateway, which is the bridge between LoRa nodes and LoRa network server. Especially, the paper contributes by proposing an improved software architecture of LoRa network server whose source codes are open on GitHub. Under the architecture, LoRa network server is divided into four decoupled modules and uses the messaging system based on streaming data for the interaction between modules to guarantee scalability and flexibility. Finally, extensive experiments are conducted to evaluate the performance of LoRa networks in typical environments.Abstract-LoRa, LPWA, IoT, Microservice, Open Source

show abstract

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Open LoRa for IoT

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Moreover, in order to efficiently manage IoT workloads, several IoT cloud platforms have been proposed. For example, the authors in [12] propose a platform dubbed servIoTicy with data stream processing capabilities for the IoT cloud and carry out a performance evaluation of the proposed platform. However, the relevant literature on the architectural design and implementation details for the IoT cloud are scarce to date.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things Cloud: Architecture and Implementation

et al. 2016

View full text Add to dashboard Cite

The Internet of Things (IoT), which enables common objects to be intelligent and interactive, is considered the next evolution of the Internet. Its pervasiveness and abilities to collect and analyze data which can be converted into information have motivated a plethora of IoT applications. For the successful deployment and management of these applications, cloud computing techniques are indispensable since they provide high computational capabilities as well as large storage capacity. This paper aims at providing insights about the architecture, implementation and performance of the IoT cloud. Several potential application scenarios of IoT cloud are studied, and an architecture is discussed regarding the functionality of each component. Moreover, the implementation details of the IoT cloud are presented along with the services that it offers. The main contributions of this paper lie in the combination of the Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) servers to offer IoT services in the architecture of the IoT cloud with various techniques to guarantee high performance. Finally, experimental results are given in order to demonstrate the service capabilities of the IoT cloud under certain conditions.

show abstract

“…The cloud computing with IoT generates IoT-as-a-Service (IoTaaS) [20]. In this model, Big Data is used to analyze the data in the cloud computing and valuable knowledge is extracted using data mining methods to deliver rich services.…”

Section: Complexity Handlingmentioning

confidence: 99%

Classification and Big Data Usages for Industrial Applications

Lim¹

2019

IJATCSE

View full text Add to dashboard Cite

Recently, Big Data has become a significant concept in various areas, especially with business sectors. Digital devices, social media, and simulation results are producing a vast amount of data which are used by various applications to find insights. However, conceptual work integrating the Big Data applications into categories has been limited. The goal of this paper is to classify Big Data use cases by application's characteristics and to provide a systematic review of Big Data usages in each application classification which is based on examination of the available use cases and survey of related works. Big Data applications are classified into three categories such as industry and business, scientific research, urban planning. The critical aspects of the classified areas are described to determine the importance of Big Data in these areas. Fog computing and cloudlet are presented as the core technology of collecting data. Twitter, LinkedIn, Facebook, and Netflix are discussed as industry and business cases of Big Data.

show abstract

Performance Characterization of the Servioticy API: An IoT-as-a-Service Data Management Platform

Cited by 15 publications

References 9 publications

Design and Implementation of Open LoRa for IoT

Design and Implementation of Open LoRa for IoT

Internet of Things Cloud: Architecture and Implementation

Classification and Big Data Usages for Industrial Applications

Contact Info

Product

Resources

About